세계의 분산형 식별자(DID) 기술 시장 : 시장 점유율과 순위, 전체 판매와 수요 예측(2024-2030년)
Decentralized Identifiers (DIDs) Technology - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030
상품코드:1481746
리서치사:QYResearch
발행일:2024년 05월
페이지 정보:영문
라이선스 & 가격 (부가세 별도)
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한글목차
세계의 분산형 식별자(DID) 기술 시장 규모는 2023년에 5억 5,312만 달러에 달했습니다.
이 시장은 2024-2030년의 예측 기간 중 86.78%의 CAGR로 확대하며, 2030년에는 386억 7,817만 달러에 달할 것으로 예측되고 있습니다.
북미의 분산형 식별자(DID) 기술 시장 규모는 2023년에 2억 1,614만 달러에 달했습니다. 이 시장은 2024-2030년의 예측 기간 중 87.48%의 CAGR로 확대하며, 2030년까지 162억 4,859만 달러에 달할 것으로 예측되고 있습니다.
유럽의 분산형 식별자(DID) 기술 시장 규모는 2023년에 1억 5,033만 달러에 달했습니다. 이 시장은 2024-2030년의 예측 기간 중 83.57%의 CAGR로 확대하며, 2030년까지 93억 7,664만 달러에 달할 것으로 예측되고 있습니다.
아시아태평양의 분산형 식별자(DID) 기술 시장 규모는 2023년에 1억 5,655만 달러에 달했습니다. 이 시장은 2024-2030년의 예측 기간 중 90.94%의 CAGR로 확대하며, 2030년까지 118억 3,631만 달러에 달할 것으로 예측되고 있습니다.
분산형 식별자(DID) 기술의 세계 주요 기업에는 Microsoft, Avast, IBM, Ping Identity, Accenture, R3, 1 Kosmos, InfoCert, Civic Technologies, Ontology, Spruce ID, Fractal ID, Validated ID, TrueVett(VeriME), Finema, Dock Labs, Nuggets, Affinidi, Metadium, Infopulse, Dragonchain, Serto, Datarella, Blockster Labs 등이 포함됩니다. 2023년에는 세계의 대기업 5사가 매출 기반으로 약 33.64%의 점유율을 차지하고 있습니다.
세계의 분산형 식별자(DID) 기술 시장에 대해 조사했으며, 시장의 개요와 유형별, 용도별, 지역별 동향 및 시장에 참여하는 기업의 개요 등을 제공하고 있습니다.
목차
제1장 시장 개요
분산형 식별자(DID) 기술 제품의 서론
세계의 분산형 식별자(DID) 기술 시장 규모 예측(2019-2030년)
분산형 식별자(DID) 기술 시장 동향과 촉진요인
전제와 제한
조사 목적
대상년
제2장 기업에 의한 경쟁 분석
제3장 유형별 세분화
서론, 유형별
세계의 분산형 식별자(DID) 기술의 판매, 유형별
제4장 용도별 세분화
서론, 용도별
세계의 분산형 식별자(DID) 기술의 판매, 용도별
제5장 지역별 세분화
세계의 분산형 식별자(DID) 기술의 판매, 지역별
북미
유럽
아시아태평양
라틴아메리카
중동 및 아프리카
제6장 주요 국가/지역별 세분화
주요 국가/지역의 분산형 식별자(DID) 기술의 판매액 성장 동향, 2019년 대 2023년 대 2030년
주요 국가/지역에서 분산형 식별자(DID) 기술의 판매, 2019-2030년
미국
유럽
중국
일본
한국
동남아시아
인도
제7장 기업 개요
Microsoft
Avast
IBM
Ping Identity
Accenture
R3
1Kosmos
InfoCert
Civic Technologies
Ontology
Spruce ID
Fractal ID
Validated ID
TrueVett(VeriME)
Finema
Dock Labs
Nuggets
Affinidi
Metadium
Infopulse
Dragonchain
Serto
Datarella
Blockster Labs
제8장 조사 결과와 결론
제9장 부록
KSA
영문 목차
영문목차
The global market for Decentralized Identifiers (DIDs) Technology was estimated to be worth US$ 553.12 million in 2023 and is forecast to a readjusted size of US$ 38,678.17 million by 2030 with a CAGR of 86.78% during the forecast period 2024-2030.
North American market for Decentralized Identifiers (DIDs) Technology was valued at $ 216.14 million in 2023 and will reach $ 16,248.59 million by 2030, at a CAGR of 87.48% during the forecast period of 2024 through 2030.
Europe market for Decentralized Identifiers (DIDs) Technology was valued at $ 150.33 million in 2023 and will reach $ 9,376.64 million by 2030, at a CAGR of 83.57% during the forecast period of 2024 through 2030.
Asia-Pacific market for Decentralized Identifiers (DIDs) Technology was valued at $ 156.55 million in 2023 and will reach $ 11,836.31 million by 2030, at a CAGR of 90.94% during the forecast period of 2024 through 2030.
The global key companies of Decentralized Identifiers (DIDs) Technology include Microsoft, Avast, IBM, Ping Identity, Accenture, R3, 1Kosmos, InfoCert, Civic Technologies, Ontology, Spruce ID, Fractal ID, Validated ID, TrueVett (VeriME), Finema, Dock Labs, Nuggets, Affinidi, Metadium, Infopulse, Dragonchain, Serto, Datarella, Blockster Labs, etc. In 2023, the global five largest players hold a share approximately 33.64% in terms of revenue.
This report aims to provide a comprehensive presentation of the global market for Decentralized Identifiers (DIDs) Technology, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Decentralized Identifiers (DIDs) Technology by region & country, by Type, and by Application.
The Decentralized Identifiers (DIDs) Technology market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Decentralized Identifiers (DIDs) Technology.
Market Segmentation
By Company
Microsoft
Avast
IBM
Ping Identity
Accenture
R3
1Kosmos
InfoCert
Civic Technologies
Ontology
Spruce ID
Fractal ID
Validated ID
TrueVett (VeriME)
Finema
Dock Labs
Nuggets
Affinidi
Metadium
Infopulse
Dragonchain
Serto
Datarella
Blockster Labs
Segment by Type
Biometric
Non-biometric
Segment by Application
BFSI
Government
Healthcare and Life Sciences
Telecom and IT
Retail and E-Commerce
Transport and Logistics
Media & Entertainment
Other
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia-Pacific
Europe
Germany
France
U.K.
Italy
Netherlands
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Decentralized Identifiers (DIDs) Technology company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of Decentralized Identifiers (DIDs) Technology in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Decentralized Identifiers (DIDs) Technology in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
2.6.2 Global 3 and 5 Largest Companies by Decentralized Identifiers (DIDs) Technology Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Decentralized Identifiers (DIDs) Technology as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Biometric
3.1.2 Non-biometric
3.2 Global Decentralized Identifiers (DIDs) Technology Sales Value by Type
3.2.1 Global Decentralized Identifiers (DIDs) Technology Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Decentralized Identifiers (DIDs) Technology Sales Value, by Type (2019-2030)
3.2.3 Global Decentralized Identifiers (DIDs) Technology Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 BFSI
4.1.2 Government
4.1.3 Healthcare and Life Sciences
4.1.4 Telecom and IT
4.1.5 Retail and E-Commerce
4.1.6 Transport and Logistics
4.1.7 Media & Entertainment
4.1.8 Other
4.2 Global Decentralized Identifiers (DIDs) Technology Sales Value by Application
4.2.1 Global Decentralized Identifiers (DIDs) Technology Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Decentralized Identifiers (DIDs) Technology Sales Value, by Application (2019-2030)
4.2.3 Global Decentralized Identifiers (DIDs) Technology Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Decentralized Identifiers (DIDs) Technology Sales Value by Region
5.1.1 Global Decentralized Identifiers (DIDs) Technology Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Decentralized Identifiers (DIDs) Technology Sales Value by Region (2019-2024)
5.1.3 Global Decentralized Identifiers (DIDs) Technology Sales Value by Region (2025-2030)
5.1.4 Global Decentralized Identifiers (DIDs) Technology Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Decentralized Identifiers (DIDs) Technology Sales Value, 2019-2030
5.2.2 North America Decentralized Identifiers (DIDs) Technology Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Decentralized Identifiers (DIDs) Technology Sales Value, 2019-2030
5.3.2 Europe Decentralized Identifiers (DIDs) Technology Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Decentralized Identifiers (DIDs) Technology Sales Value, 2019-2030
5.4.2 Asia Pacific Decentralized Identifiers (DIDs) Technology Sales Value by Region (%), 2023 VS 2030
5.5 Latin America
5.5.1 Latin America Decentralized Identifiers (DIDs) Technology Sales Value, 2019-2030
5.5.2 Latin America Decentralized Identifiers (DIDs) Technology Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Decentralized Identifiers (DIDs) Technology Sales Value, 2019-2030
5.6.2 Middle East & Africa Decentralized Identifiers (DIDs) Technology Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Decentralized Identifiers (DIDs) Technology Sales Value Growth Trends, 2019 VS 2023 VS 2030
